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Modular Micro Raman Reader Instrument for Fast SERS-Based Detection of Biomarkers

Sensitive detection of biomarkers is very critical in the diagnosis, management, and monitoring of diseases. Recent efforts have suggested that bioassays using surface-enhanced Raman scattering as a signal read-out strategy possess certain unique beneficial features in terms of sensitivity and low l...

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Detalles Bibliográficos
Autores principales: Duckworth, Jamison, Krasnoslobodtsev, Alexey V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9610109/
https://www.ncbi.nlm.nih.gov/pubmed/36295923
http://dx.doi.org/10.3390/mi13101570
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author Duckworth, Jamison
Krasnoslobodtsev, Alexey V.
author_facet Duckworth, Jamison
Krasnoslobodtsev, Alexey V.
author_sort Duckworth, Jamison
collection PubMed
description Sensitive detection of biomarkers is very critical in the diagnosis, management, and monitoring of diseases. Recent efforts have suggested that bioassays using surface-enhanced Raman scattering as a signal read-out strategy possess certain unique beneficial features in terms of sensitivity and low limits of detection which set this method apart from its counterparts such as fluorescence, phosphorescence, and radiolabeling. Surface-enhanced Raman scattering (SERS) has also emerged as an ideal choice for the development of multiplexed bioassays. Such promising features have prompted the need for the development of SERS-based tools suitable for point-of-care applications. These tools must be easy to use, portable, and automated for the screening of many samples in clinical settings if diagnostic applications are considered. The availability of such tools will result in faster and more reliable detection of disease biomarkers, improving the accessibility of point-of-care diagnostics. In this paper, we describe a modular Raman reader instrument designed to create such a portable device suitable for screening a large number of samples with minimal operator assistance. The device’s hardware is mostly built with commercially available components using our unique design. Dedicated software was created to automatically run sample screening and analyze the data measured. The mRR is an imaging system specifically created to automate measurements, eliminating human bias while enhancing the rate of data collection and analysis ~2000 times. This paper presents both the design and capabilities of the custom-built modular Raman reader system (mRR) capable of automated and fast measurements of sandwich immunoassay samples on gold substrates using modified gold nanoparticles as Raman tags. The limit of detection (LOD) of the tested MUC4-specific iSERS assay was measured to be 0.41 µg/mL.
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spelling pubmed-96101092022-10-28 Modular Micro Raman Reader Instrument for Fast SERS-Based Detection of Biomarkers Duckworth, Jamison Krasnoslobodtsev, Alexey V. Micromachines (Basel) Article Sensitive detection of biomarkers is very critical in the diagnosis, management, and monitoring of diseases. Recent efforts have suggested that bioassays using surface-enhanced Raman scattering as a signal read-out strategy possess certain unique beneficial features in terms of sensitivity and low limits of detection which set this method apart from its counterparts such as fluorescence, phosphorescence, and radiolabeling. Surface-enhanced Raman scattering (SERS) has also emerged as an ideal choice for the development of multiplexed bioassays. Such promising features have prompted the need for the development of SERS-based tools suitable for point-of-care applications. These tools must be easy to use, portable, and automated for the screening of many samples in clinical settings if diagnostic applications are considered. The availability of such tools will result in faster and more reliable detection of disease biomarkers, improving the accessibility of point-of-care diagnostics. In this paper, we describe a modular Raman reader instrument designed to create such a portable device suitable for screening a large number of samples with minimal operator assistance. The device’s hardware is mostly built with commercially available components using our unique design. Dedicated software was created to automatically run sample screening and analyze the data measured. The mRR is an imaging system specifically created to automate measurements, eliminating human bias while enhancing the rate of data collection and analysis ~2000 times. This paper presents both the design and capabilities of the custom-built modular Raman reader system (mRR) capable of automated and fast measurements of sandwich immunoassay samples on gold substrates using modified gold nanoparticles as Raman tags. The limit of detection (LOD) of the tested MUC4-specific iSERS assay was measured to be 0.41 µg/mL. MDPI 2022-09-22 /pmc/articles/PMC9610109/ /pubmed/36295923 http://dx.doi.org/10.3390/mi13101570 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Duckworth, Jamison
Krasnoslobodtsev, Alexey V.
Modular Micro Raman Reader Instrument for Fast SERS-Based Detection of Biomarkers
title Modular Micro Raman Reader Instrument for Fast SERS-Based Detection of Biomarkers
title_full Modular Micro Raman Reader Instrument for Fast SERS-Based Detection of Biomarkers
title_fullStr Modular Micro Raman Reader Instrument for Fast SERS-Based Detection of Biomarkers
title_full_unstemmed Modular Micro Raman Reader Instrument for Fast SERS-Based Detection of Biomarkers
title_short Modular Micro Raman Reader Instrument for Fast SERS-Based Detection of Biomarkers
title_sort modular micro raman reader instrument for fast sers-based detection of biomarkers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9610109/
https://www.ncbi.nlm.nih.gov/pubmed/36295923
http://dx.doi.org/10.3390/mi13101570
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